Primary Skills
Senior AWS Data Engineer
Experience: 7 – 12 Years
Location: Bangalore | Hyderabad | Pune | Chennai | Gurgaon
Company: BrillioAbout Brillio
Brillio is a leading digital technology consulting and solutions company focused on delivering transformative outcomes for enterprises through cloud, data, AI, and digital engineering solutions.
Role Overview
We are looking for a highly skilled AWS Data Engineer with strong expertise in designing, developing, and maintaining large-scale cloud-native data platforms. The ideal candidate should have extensive experience with AWS data services, Spark-Scala, ETL development, real-time streaming, and data warehousing solutions.
Required Technical Skills
AWS Services
- Athena
- SNS
- SQS
- CloudWatch
- Macie
- Kinesis
- CloudFormation
- EMR
- OpenSearch
- DynamoDB
- Amazon API Gateway
- AWS SCT (Schema Conversion Tool)
- Redshift
- AWS DMS
- Apache Spark (Scala)
- Oozie
- ETL/ELT Development
- Data Modeling
- Batch & Real-Time Data Processing
- Data Warehousing Concepts
- Scala
- SQL
- Python (Good to Have)
- Design, build, and maintain scalable data pipelines using AWS native services.
- Develop high-performance data processing applications using Spark and Scala.
- Build and optimize ETL/ELT frameworks for large-scale structured and unstructured datasets.
- Implement real-time streaming solutions using Amazon Kinesis.
- Design and manage data warehouses using Amazon Redshift.
- Perform data migration and modernization projects using AWS DMS and SCT.
- Create and manage workflow orchestration using Oozie.
- Implement Infrastructure as Code (IaC) using AWS CloudFormation.
- Configure monitoring, logging, and alerting using CloudWatch.
- Manage data security, governance, and compliance using AWS Macie.
- Develop API-based integrations using Amazon API Gateway.
- Optimize performance, scalability, reliability, and cost of AWS workloads.
- Collaborate with architects, business stakeholders, and cross-functional engineering teams to deliver cloud-native data solutions.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.
- 7+ years of overall experience in Data Engineering and Cloud Data Platforms.
- Minimum 4+ years of hands-on AWS Data Engineering experience.
- Strong expertise in Spark-Scala development.
- Experience building enterprise-grade data lakes and data warehouses.
- Excellent SQL and performance tuning skills.
- Experience working in Agile/Scrum environments.
- AWS Certified Data Analytics – Specialty.
- AWS Certified Solutions Architect Associate/Professional.
- Experience with AWS Glue, Airflow, or Databricks.
- Exposure to CI/CD, DevOps, and Infrastructure Automation.
- Knowledge of data governance and security best practices.
- Docker/Kubernetes
- Machine Learning data pipelines
- Data Quality Frameworks
- Data Catalog & Metadata Management
- Event-driven architecture and streaming platforms
Data Engineering & Big Data
Programming
Key Responsibilities
Required Qualifications
Preferred Qualifications
Good to Have
Job requirements
- Athena
- SNS
- SQS
- CloudWatch
- Macie
- Kinesis
- CloudFormation
- EMR
- OpenSearch
- DynamoDB
- Amazon API Gateway
- AWS SCT (Schema Conversion Tool)
- Redshift
- AWS DMS
- Apache Spark (Scala)
- Oozie
- ETL/ELT Development
- Data Modeling
- Batch & Real-Time Data Processing
- Data Warehousing Concepts
- Scala
- SQL
- Python (Good to Have)
- Design, build, and maintain scalable data pipelines using AWS native services.
- Develop high-performance data processing applications using Spark and Scala.
- Build and optimize ETL/ELT frameworks for large-scale structured and unstructured datasets.
- Implement real-time streaming solutions using Amazon Kinesis.
- Design and manage data warehouses using Amazon Redshift.
- Perform data migration and modernization projects using AWS DMS and SCT.
- Create and manage workflow orchestration using Oozie.
- Implement Infrastructure as Code (IaC) using AWS CloudFormation.
- Configure monitoring, logging, and alerting using CloudWatch.
- Manage data security, governance, and compliance using AWS Macie.
- Develop API-based integrations using Amazon API Gateway.
- Optimize performance, scalability, reliability, and cost of AWS workloads.
- Collaborate with architects, business stakeholders, and cross-functional engineering teams to deliver cloud-native data solutions.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.
- 7+ years of overall experience in Data Engineering and Cloud Data Platforms.
- Minimum 4+ years of hands-on AWS Data Engineering experience.
- Strong expertise in Spark-Scala development.
- Experience building enterprise-grade data lakes and data warehouses.
- Excellent SQL and performance tuning skills.
- Experience working in Agile/Scrum environments.
- AWS Certified Data Analytics – Specialty.
- AWS Certified Solutions Architect Associate/Professional.
- Experience with AWS Glue, Airflow, or Databricks.
- Exposure to CI/CD, DevOps, and Infrastructure Automation.
- Knowledge of data governance and security best practices.
- Docker/Kubernetes
- Machine Learning data pipelines
- Data Quality Frameworks
- Data Catalog & Metadata Management
- Event-driven architecture and streaming platforms
Senior AWS Data Specialist
Experience: 7 – 12 Years
Location: Bangalore | Hyderabad | Pune | Chennai | Gurgaon
Company: Brillio
About Brillio
Brillio is a leading digital technology consulting and solutions company focused on delivering transformative outcomes for enterprises through cloud, data, AI, and digital engineering solutions.
Role Overview
We are looking for a highly skilled AWS Data Engineer with strong expertise in designing, developing, and maintaining large-scale cloud-native data platforms. The ideal candidate should have extensive experience with AWS data services, Spark-Scala, ETL development, real-time streaming, and data warehousing solutions.
Required Technical Skills
AWS Services
Data Engineering & Big Data
Programming
Key Responsibilities
Required Qualifications
Preferred Qualifications
Good to Have
Skills Required
- Bachelor's degree in Computer Science, IT, Engineering, or related discipline
- 7+ years overall experience in Data Engineering and Cloud Data Platforms
- Minimum 4+ years hands-on AWS Data Engineering experience
- Strong expertise in Spark-Scala development
- Experience building enterprise-grade data lakes and data warehouses
- Excellent SQL and performance tuning skills
- Experience working in Agile/Scrum environments
- Experience with AWS services: Athena, SNS, SQS, CloudWatch, Macie, Kinesis, CloudFormation, EMR, OpenSearch, DynamoDB, Amazon API Gateway, AWS SCT, Redshift, AWS DMS
- Experience with ETL/ELT development, data modeling, batch and real-time processing, and Oozie
- Proficiency in Scala and SQL
- Python (Good to Have)
- AWS Certified Data Analytics - Specialty (preferred)
- AWS Certified Solutions Architect Associate/Professional (preferred)
- Experience with AWS Glue, Airflow, or Databricks (preferred)
- Exposure to CI/CD, DevOps, and Infrastructure Automation (preferred)
- Knowledge of data governance and security best practices (preferred)
- Docker/Kubernetes, ML data pipelines, data quality frameworks, data catalog/metadata management (good to have)
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
